Faster-RCNN [1]} with ResNet50 [2]} as the backbone is adopted as our lesion detection network. We apply transfer learning by initializing the network with parameters from a model pre-trained on the COCO [3]} dataset. The detection network is trained with Adam optimizer for 100 epochs, with a 0.01 initial learning rate and getting decayed by 0.1 at the 50th epoch and the 80th epoch.
